print with f-string

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

print with f-string has 14 facts recorded in Dontopedia across 5 references, with 2 live disagreements.

14 facts·11 predicates·5 sources·2 in dispute

Mostly:rdf:type(2), uses variable(2), uses f string formatting(1)

Other facts (13)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

13 facts

Predicate	Value	Ref
Rdf:type	Output Statement	[2]
Rdf:type	Output Method	[4]
Uses Variable	Tool	[2]
Uses Variable	Score	[2]
Uses F String Formatting	Python F String	[1]
Format String	Recall for {tool}: {score:.2f}	[2]
Called in	Score Print Loop	[2]
Uses F String	Task Format String	[3]
Outputs	Task Info	[3]
Accesses	Task Loop Variable	[3]
Uses Format String	F String Syntax	[3]
Displays	Task Loop Variable	[3]
Contains Placeholder	Len Placeholder	[5]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

14 undated

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usesF-string-formattingbeam/9f797393-50e3-41f0-a90a-ffaea027f129

ex:python-f-string

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typebeam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2

ex:OutputStatement

—

labelbeam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2

print with f-string

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formatStringbeam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2

Recall for {tool}: {score:.2f}

—

usesVariablebeam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2

ex:tool

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usesVariablebeam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2

ex:score

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calledInbeam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2

ex:score-print-loop

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usesFStringbeam/e96e475e-40a0-407f-bfd8-21812d840edc

ex:task-format-string

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outputsbeam/e96e475e-40a0-407f-bfd8-21812d840edc

ex:task-info

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accessesbeam/e96e475e-40a0-407f-bfd8-21812d840edc

ex:task-loop-variable

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usesFormatStringbeam/e96e475e-40a0-407f-bfd8-21812d840edc

ex:f-string-syntax

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displaysbeam/e96e475e-40a0-407f-bfd8-21812d840edc

ex:task-loop-variable

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typebeam/7c46c0d3-14b6-4d99-b556-baa45fee2275

ex:OutputMethod

—

containsPlaceholderbeam/b28296e8-d424-4c69-b112-9bdbaeddc220

ex:len-placeholder

References (5)

5 references

[1]9f797393 50e3 41f0 A90a Ffaea027f1291 fact
ctx:claims/beam/9f797393-50e3-41f0-a90a-ffaea027f129
- full textbeam-chunk
  text/plain1 KBdoc:beam/9f797393-50e3-41f0-a90a-ffaea027f129
  Show excerpt
  'storage_efficiency': storage_efficiency, 'scalability': scalability, 'ease_of_use': ease_of_use, 'cost': cost } for library, metrics in results.items(): print(f"Library: {library}") print(f"Sear…
[2]Eb7f55ff 6715 4dd8 81f8 023b5f9693f26 facts
ctx:claims/beam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2
- full textbeam-chunk
  text/plain1 KBdoc:beam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2
  Show excerpt
  retrieved_labels = relevant_labels[retrieved_indices] true_positives = np.sum(retrieved_labels) recall = true_positives / num_relevant return recall # Initialize the recall scores recall_scores = [] for tool in tools: …
[3]E96e475e 40a0 407f Bfd8 21812d840edc5 facts
ctx:claims/beam/e96e475e-40a0-407f-bfd8-21812d840edc
- full textbeam-chunk
  text/plain1 KBdoc:beam/e96e475e-40a0-407f-bfd8-21812d840edc
  Show excerpt
  schedule.append({"task": "Test streaming ingestion prototype", "due_date": self.start_date + datetime.timedelta(days=15)}) schedule.append({"task": "Review results with team", "due_date": self.start_date + datetime.timedelta…
[4]7c46c0d3 14b6 4d99 B556 Baa45fee22751 fact
ctx:claims/beam/7c46c0d3-14b6-4d99-b556-baa45fee2275
- full textbeam-chunk
  text/plain1 KBdoc:beam/7c46c0d3-14b6-4d99-b556-baa45fee2275
  Show excerpt
  tokens = practice(tokens) return tokens # Define the sparse tuning practices sparse_tuning_practices = [ lambda x: x * 2, # practice 1: multiply by 2 lambda x: x + 1, # practice 2: add 1 lambda x: x - 1, # p…
[5]B28296e8 D424 4c69 B112 9bdbaeddc2201 fact
ctx:claims/beam/b28296e8-d424-4c69-b112-9bdbaeddc220
- full textbeam-chunk
  text/plain1 KBdoc:beam/b28296e8-d424-4c69-b112-9bdbaeddc220
  Show excerpt
  futures = {executor.submit(self.rewrite_query, query): query for query in queries} for future in as_completed(futures): rewritten_queries.append(future.result()) return rewritten_queries …

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print with f-string

Other facts (13)

Timeline

References (5)

See also

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